Hyunwoo J. Kim

Artificial Intelligence · with Jeong · 2019–2022

A researcher in the Science corpus: 8 papers; trusts 770 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 259 citations into it; #10,618 of 35,345 by trust here, #6,103 by citations
• Computer Vision and Pattern Recognition — 244 citations into it; #16,002 of 21,575 by trust here, #4,988 by citations
• Meta & Continual Learning — 141 citations into it; #366 of 1,041 by trust here, #184 by citations
• Representation & Self-Supervised Learning — 95 citations into it
• Generative Models — 52 citations into it
• Statistical and Nonlinear Physics — 31 citations into it
• Graph Learning — 28 citations into it
• Optimization & Training — 27 citations into it

Whom Hyunwoo J. Kim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Kaiming He
6. Yann LeCun
7. Marc'Aurelio Ranzato
8. Arslan Chaudhry
9. Ilya Sutskever
10. Rahaf Aljundi

Who trusts Hyunwoo J. Kim overall

1. Yiduo Guo
2. Zheda Mai
3. Hongwei Yan
4. Da-Wei Zhou
5. Yaqian Zhang
6. Yanan Gu
7. Yujie Wei
8. Gobinda Saha
9. Liyuan Wang
10. Zhen Wang

Papers from Hyunwoo J. Kim's perspective

Ordered by how strongly the researchers Hyunwoo J. Kim trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Online Continual Learning in Image Classification: An Empirical Survey (2021) — 526 citations
• HOTR: End-to-End Human-Object Interaction Detection with Transformers (2021) — 345 citations
• Perception Prioritized Training of Diffusion Models (2022) — 401 citations
• Graph Transformer Networks (2019) — 1,382 citations
• Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning (2021) — 237 citations
• Batch-level Experience Replay with Review for Continual Learning (2020) — 18 citations
• Online Class-Incremental Continual Learning with Adversarial Shapley Value (2020) — 267 citations
• Adversarial Shapley Value Experience Replay for Task-Free Continual Learning (2020) — 6 citations